Staff Machine Learning Engineer, Relevance
Description For Staff Machine Learning Engineer, Relevance
Airbnb's Relevance and Personalization team is seeking a Staff Machine Learning Engineer to lead critical projects in search and recommendation. You'll develop end-to-end ranking algorithms, build cutting-edge AI technologies, and work with large-scale data to optimize business objectives. Collaborating across teams, you'll drive engineering decisions and quantify impact. Key responsibilities include developing ML models, working with cross-functional partners, and leveraging various ML tools and infrastructure. The role requires expertise in applied Machine Learning, strong programming skills, and experience with technologies like TensorFlow, PyTorch, and Spark. This remote-eligible position offers the opportunity to work on impactful projects in a company committed to creating a world where people can Belong Anywhere.
Responsibilities For Staff Machine Learning Engineer, Relevance
- Work with large scale structured and unstructured data, build and improve cutting edge Machine Learning models
- Collaborate with cross-functional partners to identify opportunities for business impact
- Develop, productionize, and operate Machine Learning models and pipelines at scale
- Leverage ML tools & infrastructure to develop reusable, differentiating, and high-performing ML systems
- Work on projects such as feature platform, model interpretability, hyperparameter optimization, concept drift detection
Requirements For Staff Machine Learning Engineer, Relevance
- 9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
- Strong programming skills in Scala / Python / Java / C++ or equivalent
- Deep understanding of Machine Learning best practices, algorithms, and domains
- Experience with 3 or more technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka, data warehouse
- Industry experience building end-to-end Machine Learning infrastructure and/or productionizing ML models
- Exposure to architectural patterns of large, high-scale software applications
- Experience with test driven development, A/B testing, incremental delivery and deployment
Benefits For Staff Machine Learning Engineer, Relevance
- Employee Travel Credits
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